Data Architect | Contract | Hybrid in Los Angeles
Tech Holding · Los Angeles, CA
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Jul 21, 2026
Los Angeles, CA
Jul 23, 2026
What this job asks for AI summary
A contract senior Data Architect role based in Los Angeles, working onsite three days a week. The position centers on designing and establishing enterprise data foundations — covering cloud and hybrid platforms, data modeling, governance, integration, metadata, lineage, and quality standards — while producing architecture roadmaps for both technical teams and executive stakeholders. Secondary exposure to generative AI and retrieval-augmented generation use cases is a plus, but solid platform architecture experience is the core requirement.
Senior level · 8+ years · Los Angeles-Long Beach-Anaheim, CA · Contract
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 4 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (database architects). range 1–6
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $159,165 (middle half $121,760–$182,057).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
This is an onsite contract (project-based) role requiring 3 days/week in Los Angeles; candidates must already be authorized to work in the US — no visa sponsorship available.
The modern data platform requirement names Snowflake, Databricks, BigQuery, Redshift, and Azure Synapse as interchangeable examples; Snowflake is listed first and all are treated as acceptable substitutes for the same capability gate.
Cloud platform (AWS, Azure, GCP) is similarly an 'or' requirement — any one qualifies; AWS is listed as the primary with Azure and GCP as alternatives.
Bachelor's degree in Computer Science is listed under Education but the posting explicitly accepts 'relevant years of work experience' in lieu of a degree, so no hard degree gate applies.
Generative AI, RAG, agentic AI, vector databases, embeddings, semantic layers, knowledge graphs, data products, data contracts, and consulting experience all appear under the 'Nice-to-have Skills' section.
'Streaming data architecture' and 'REST' (API-based integration) are extracted from the required batch/streaming/event-driven/API integration architecture gate; 'data lakes' and 'data warehouses' capture the required lakehouse/platform architecture knowledge.
No compensation figures were provided in the posting.
Ignored 5 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data governance, metadata management, master data management, streaming data architecture, semantic modeling.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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